Gemini 4 Carbon: Google's Agentic AI for Autonomous Vulnerability Remediation
Google's Gemini 4 Carbon is a frontier agentic AI model engineered for autonomous vulnerability remediation across large codebases and low-level systems. Announced October 28, 2026, it succeeds Gemini 4 Argon and performs multi-day, long-horizon security tasks without continuous human intervention. The model achieves 88.2% on SEC-bench Pro for vulnerability discovery and 54.8% on ExploitGym for exploitation validation. Access is restricted to a limited preview for selected cyber defenders under a safety-first rollout.
Microsoft Project Perception: Multi-Agent AI Security Defense Stack
Microsoft Project Perception introduces a multi-agent AI security stack to defend against machine-speed threats and autonomous agentic risks. The framework utilizes Red, Blue, and Green agents for threat simulation, KQL detection, and vulnerability remediation, integrated via the MDASH platform and Security Graph. To address the technical gap where 54% of organizations lack AI agent access controls, the stack implements Guardian Agents. These agents mitigate the threat of autonomous AI agents acting as insider threats by enforcing dynamic, risk-based authorization and monitoring behavior via WAF and authorization points. The system leverages MAI Cyber Flash to resolve 90% of vulnerability queries, significantly reducing remediation timelines from days to minutes.